Position Summary: This role is responsible for supporting Product Management with all adhoc data access and analytics questions, as well as supporting performance management of KPIs. Focused on a specific data area to pull & analyze data to answer known questions.
Responsibilities may include, but are not limited to:
60% Track the overall success of product initiatives
- Assist with measuring the success of each product across customers including perceptual metrics, scorecard metrics, adoption and utilization
- Work with the Product Manager to determine the measures of success and guide good usage of outcome driven metrics
- Pull user, transaction, and other data from complex systems in order to format into reports for the Product Managers
- Synthesize results from experiments into data for the Product Managers to interpret success or failure
- Data mining and analysis to drive product strategy and development
40% Monitor the overall health of products to provide information to Product Teams
- Coordinate creating and maintaining visuals (e.g. dashboard, report card, etc) to keep Product teams informed and aware of overall health of the product
- Working with other Product Analytics team members, lead the standardization of success metrics across
- Support plan to drive improvement of scorecard metrics, including helping investigate metric levers and track success of initiatives
- Develop and manage strong, collaborative relationships with associated product team
Education, Experience, & Skills Required
- Bachelor’s Degree required; Degree (Bachelor’s or Masters) in quantitative disciples like Computer Science, Data Engineering, Data Science, Statistics, or Mathematics preferred
- 3+ years professional experience and a minimum of 1 – 2 years of data analytics or data science
- Strong understanding of database technologies and ability to write code to gather data
- Ability to effectively create reports and synthesize data into digestible and actionable information
- Excellent verbal and written communication skills
Behaviors & Abilities Required:
- Ability to synthesize complex, high quantity and sometimes contradictory information to effectively solve business problems.
- Ability to drive inter-team collaboration in order to achieve business results.
- Ability to analyze a variety of information in order to drive strategic product development and client performance.
- Demonstrated ability to use a variety of tools, techniques, and processes to gather and report data.
- Ability to collect, combine, and analyze complex qualitative and quantitative information from different sources and formats and distill into manageable, actionable and shareable outputs.
Position Summary: This role is responsible for supporting Product Management with all adhoc data access and analytics questions, as well as supporting performance management of KPIs. Focused on a specific data area to pull & analyze data to answer known questions.
Responsibilities may include, but are not limited to:
60% Track the overall success of product initiatives
- Assist with measuring the success of each product across customers including perceptual metrics, scorecard metrics, adoption and utilization
- Work with the Product Manager to determine the measures of success and guide good usage of outcome driven metrics
- Pull user, transaction, and other data from complex systems in order to format into reports for the Product Managers
- Synthesize results from experiments into data for the Product Managers to interpret success or failure
- Data mining and analysis to drive product strategy and development
40% Monitor the overall health of products to provide information to Product Teams
- Coordinate creating and maintaining visuals (e.g. dashboard, report card, etc) to keep Product teams informed and aware of overall health of the product
- Working with other Product Analytics team members, lead the standardization of success metrics across
- Support plan to drive improvement of scorecard metrics, including helping investigate metric levers and track success of initiatives
- Develop and manage strong, collaborative relationships with associated product team
Education, Experience, & Skills Required
- Bachelor’s Degree required; Degree (Bachelor’s or Masters) in quantitative disciples like Computer Science, Data Engineering, Data Science, Statistics, or Mathematics preferred
- 3+ years professional experience and a minimum of 1 – 2 years of data analytics or data science
- Strong understanding of database technologies and ability to write code to gather data
- Ability to effectively create reports and synthesize data into digestible and actionable information
- Excellent verbal and written communication skills
Behaviors & Abilities Required:
- Ability to synthesize complex, high quantity and sometimes contradictory information to effectively solve business problems.
- Ability to drive inter-team collaboration in order to achieve business results.
- Ability to analyze a variety of information in order to drive strategic product development and client performance.
- Demonstrated ability to use a variety of tools, techniques, and processes to gather and report data.
- Ability to collect, combine, and analyze complex qualitative and quantitative information from different sources and formats and distill into manageable, actionable and shareable outputs.
